


'''simple docstring'''

import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_lowerCAmelCase     :							Union[str, Any]    =				logging.get_logger(__name__)

_lowerCAmelCase     :							Optional[int]    =				{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

_lowerCAmelCase     :							Optional[Any]    =				{
    """vocab_file""": {"""ctrl""": """https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json"""},
    """merges_file""": {"""ctrl""": """https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt"""},
}

_lowerCAmelCase     :							Optional[Any]    =				{
    """ctrl""": 2_5_6,
}

_lowerCAmelCase     :							int    =				{
    """Pregnancy""": 1_6_8_6_2_9,
    """Christianity""": 7_6_7_5,
    """Explain""": 1_0_6_4_2_3,
    """Fitness""": 6_3_4_4_0,
    """Saving""": 6_3_1_6_3,
    """Ask""": 2_7_1_7_1,
    """Ass""": 9_5_9_8_5,
    """Joke""": 1_6_3_5_0_9,
    """Questions""": 4_5_6_2_2,
    """Thoughts""": 4_9_6_0_5,
    """Retail""": 5_2_3_4_2,
    """Feminism""": 1_6_4_3_3_8,
    """Writing""": 1_1_9_9_2,
    """Atheism""": 1_9_2_2_6_3,
    """Netflix""": 4_8_6_1_6,
    """Computing""": 3_9_6_3_9,
    """Opinion""": 4_3_2_1_3,
    """Alone""": 4_4_9_6_7,
    """Funny""": 5_8_9_1_7,
    """Gaming""": 4_0_3_5_8,
    """Human""": 4_0_8_8,
    """India""": 1_3_3_1,
    """Joker""": 7_7_1_3_8,
    """Diet""": 3_6_2_0_6,
    """Legal""": 1_1_8_5_9,
    """Norman""": 4_9_3_9,
    """Tip""": 7_2_6_8_9,
    """Weight""": 5_2_3_4_3,
    """Movies""": 4_6_2_7_3,
    """Running""": 2_3_4_2_5,
    """Science""": 2_0_9_0,
    """Horror""": 3_7_7_9_3,
    """Confession""": 6_0_5_7_2,
    """Finance""": 1_2_2_5_0,
    """Politics""": 1_6_3_6_0,
    """Scary""": 1_9_1_9_8_5,
    """Support""": 1_2_6_5_4,
    """Technologies""": 3_2_5_1_6,
    """Teenage""": 6_6_1_6_0,
    """Event""": 3_2_7_6_9,
    """Learned""": 6_7_4_6_0,
    """Notion""": 1_8_2_7_7_0,
    """Wikipedia""": 3_7_5_8_3,
    """Books""": 6_6_6_5,
    """Extract""": 7_6_0_5_0,
    """Confessions""": 1_0_2_7_0_1,
    """Conspiracy""": 7_5_9_3_2,
    """Links""": 6_3_6_7_4,
    """Narcissus""": 1_5_0_4_2_5,
    """Relationship""": 5_4_7_6_6,
    """Relationships""": 1_3_4_7_9_6,
    """Reviews""": 4_1_6_7_1,
    """News""": 4_2_5_6,
    """Translation""": 2_6_8_2_0,
    """multilingual""": 1_2_8_4_0_6,
}






def 					_A			(			snake_case__    :			int				):
	snake_case__			:			str             =		set()
	snake_case__			:			Union[str, Any]             =		word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)				)
		snake_case__			:			List[Any]             =		char

	snake_case__			:			Tuple             =		set(snake_case__				)
	return pairs





class 		snake_case				(    UpperCAmelCase__						):

				"""simple docstring"""




				_lowerCAmelCase           =    VOCAB_FILES_NAMES
				_lowerCAmelCase           =    PRETRAINED_VOCAB_FILES_MAP
				_lowerCAmelCase           =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				_lowerCAmelCase           =    CONTROL_CODES





				def __init__(	self       ,    lowerCamelCase       ,    lowerCamelCase       ,    lowerCamelCase="<unk>"       ,    **lowerCamelCase )    ->      List[str]:







					"""simple docstring"""






					super().__init__(unk_token=_a       ,    **_a )

					with open(_a       ,    encoding='''utf-8''' ) as vocab_handle:
						snake_case__			:			str             =		json.load(_a )
					snake_case__			:			List[str]             =		{v: k for k, v in self.encoder.items()}
					with open(_a       ,    encoding='''utf-8''' ) as merges_handle:
						snake_case__			:			Any             =		merges_handle.read().split('''\n''' )[1:-1]
					snake_case__			:			Tuple             =		[tuple(merge.split() ) for merge in merges]
					snake_case__			:			Optional[Any]             =		dict(zip(_a       ,    range(len(_a ) ) ) )
					snake_case__			:			Any             =		{}





				@property
				def    lowercase__							(	self )    ->      Tuple:







					"""simple docstring"""






					return len(self.encoder )





				def    lowercase__							(	self )    ->      Optional[int]:







					"""simple docstring"""






					return dict(self.encoder       ,    **self.added_tokens_encoder )





				def    lowercase__							(	self       ,    lowerCamelCase )    ->      str:







					"""simple docstring"""






					if token in self.cache:
						return self.cache[token]
					snake_case__			:			Optional[Any]             =		tuple(_a )
					snake_case__			:			Optional[int]             =		tuple(list(word[:-1] ) + [word[-1] + '''</w>'''] )
					snake_case__			:			Dict             =		get_pairs(_a )

					if not pairs:
						return token

					while True:
						snake_case__			:			Any             =		min(_a       ,    key=lambda lowerCamelCase : self.bpe_ranks.get(_a       ,    float('''inf''' ) ) )
						if bigram not in self.bpe_ranks:
							break
						snake_case__      ,snake_case__			:			Dict             =		bigram
						snake_case__			:			Dict             =		[]
						snake_case__			:			Dict             =		0
						while i < len(_a ):
							try:
								snake_case__			:			Any             =		word.index(_a       ,    _a )
							except ValueError:
								new_word.extend(word[i:] )
								break
							else:
								new_word.extend(word[i:j] )
								snake_case__			:			Union[str, Any]             =		j

							if word[i] == first and i < len(_a ) - 1 and word[i + 1] == second:
								new_word.append(first + second )
								i += 2
							else:
								new_word.append(word[i] )
								i += 1
						snake_case__			:			List[str]             =		tuple(_a )
						snake_case__			:			Tuple             =		new_word
						if len(_a ) == 1:
							break
						else:
							snake_case__			:			Union[str, Any]             =		get_pairs(_a )
					snake_case__			:			str             =		'''@@ '''.join(_a )
					snake_case__			:			Union[str, Any]             =		word[:-4]
					snake_case__			:			Tuple             =		word
					return word





				def    lowercase__							(	self       ,    lowerCamelCase )    ->      Any:







					"""simple docstring"""






					snake_case__			:			str             =		[]

					snake_case__			:			int             =		re.findall(R'''\S+\n?'''       ,    _a )

					for token in words:
						split_tokens.extend(list(self.bpe(_a ).split(''' ''' ) ) )
					return split_tokens





				def    lowercase__							(	self       ,    lowerCamelCase )    ->      Tuple:







					"""simple docstring"""






					return self.encoder.get(_a       ,    self.encoder.get(self.unk_token ) )





				def    lowercase__							(	self       ,    lowerCamelCase )    ->      Optional[Any]:







					"""simple docstring"""






					return self.decoder.get(_a       ,    self.unk_token )





				def    lowercase__							(	self       ,    lowerCamelCase )    ->      Tuple:







					"""simple docstring"""






					snake_case__			:			List[Any]             =		''' '''.join(_a ).replace('''@@ '''       ,    '''''' ).strip()
					return out_string





				def    lowercase__							(	self       ,    lowerCamelCase       ,    lowerCamelCase = None )    ->      str:







					"""simple docstring"""






					if not os.path.isdir(_a ):
						logger.error(f'''Vocabulary path ({save_directory}) should be a directory''' )
						return
					snake_case__			:			Optional[Any]             =		os.path.join(
					    _a       ,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )
					snake_case__			:			Tuple             =		os.path.join(
					    _a       ,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file'''] )

					with open(_a       ,    '''w'''       ,    encoding='''utf-8''' ) as f:
						f.write(json.dumps(self.encoder       ,    indent=2       ,    sort_keys=_a       ,    ensure_ascii=_a ) + '''\n''' )

					snake_case__			:			Optional[int]             =		0
					with open(_a       ,    '''w'''       ,    encoding='''utf-8''' ) as writer:
						writer.write('''#version: 0.2\n''' )
						for bpe_tokens, token_index in sorted(self.bpe_ranks.items()       ,    key=lambda lowerCamelCase : kv[1] ):
							if index != token_index:
								logger.warning(
								    f'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
								    ''' Please check that the tokenizer is not corrupted!''' )
								snake_case__			:			Any             =		token_index
							writer.write(''' '''.join(_a ) + '''\n''' )
							index += 1

					return vocab_file, merge_file

				# def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
				#     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
				#     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
				#     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
				#     return ''.join(tokens_generated_so_far)











"""simple docstring"""




import random



def        a__					(							snake_case__			,					snake_case__			,					snake_case__ = False							)		->   dict:
			lowerCamelCase      =   {i: [] for i in range(snake_case__							)}

			# if probability is greater or equal than 1, then generate a complete graph
			if probability >= 1:
						return complete_graph(snake_case__							)
			# if probability is lower or equal than 0, then return a graph without edges
			if probability <= 0:
						return graph

			# for each couple of nodes, add an edge from u to v
			# if the number randomly generated is greater than probability probability
			for i in range(snake_case__							):
						for j in range(i + 1			,					snake_case__							):
									if random.random() < probability:
												graph[i].append(snake_case__							)
												if not directed:
															# if the graph is undirected, add an edge in from j to i, either
															graph[j].append(snake_case__							)
			return graph



def        a__					(							snake_case__							)		->   dict:
			return {
			    i: [j for j in range(snake_case__							) if i != j] for i in range(snake_case__							)
			}


if __name__ == "__main__":
					import doctest

					doctest.testmod()



